Time since we first saw it
Day 15
Similar jobs usually come down between day 7 and day 56.
From 10,195 similar postings that came down. Coming down is not always a hire.
Data Science
London · London, United Kingdom
Likely evergreen, first seen by us 15 days ago- Pay
£75,000–200,000/year · Total compensationAnnual period assumed — pay source
What's in it for you A meaningful slice of equity in Axle, alongside a competitive salary, with total compensation ranging from £75k–£200k (base salary + equity). We operate with a deliberately flat structure and aim to keep pay equitable across the company, with a 1:1 median ratio between founder and team compensation.
Read the full posting- Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Engineering — team source
Department: Engineering
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Do you require visa sponsorship to work within the UK?
From the employer’s application form
What you’ll work on
Full postingWe're hiring full stack data scientists who love to get into the nitty gritty of the domain, have an instinct for commercial value, and own the entire process from data exploration to production.
Building, optimising, and deploying models that operate reliably at scale
Build, optimise and deploy models that run reliably at scale
Develop a deep understanding of energy markets, grid dynamics and trading strategies
Own work from research and prototyping through to production
Write clean, production-quality code for robust, scalable systems
Turn ideas into productionised solutions beyond notebooks
From the employer’s posting
We're hiring full stack data scientists who love to get into the nitty gritty of the domain, have an instinct for commercial value, and own the entire process from data exploration to production.
Building, optimising, and deploying models that operate reliably at scale
Developing a deep understanding of energy markets, grid dynamics, and trading strategies
Taking ownership of the full lifecycle of your work, from research and prototyping through to production
Writing clean, production-quality code and contributing to robust, scalable systems
Working beyond notebooks, turning ideas into real-world, productionised solutions
What you’ll bring
All qualificationsCore experience
- Experience taking models from data exploration to production
- Strong commercial instinct and interest in the details of the domain
- Python for production-quality code
Preferred experience
- Knowledge of the electricity system, especially power trading
- Comfort speaking to clients in a small, multi-hat team
- Familiarity with time-series data
Qualification wording
own the entire process from data exploration to production
have an instinct for commercial value
We build in Python + React for the frontend (less relevant for this role)
Knowledge of the electricity system, specifically power trading
Comfort speaking to clients (we’re a small team and wear many hats)
Familiarity with time-series data
About Axle Energy
At Axle Energy, we’re building the infrastructure that will underpin the decarbonised energy system.
In the employer’s words · Read in context · Company website ↗
Posting record
Report an errorLikely evergreenReposted 3 times since Sep 16, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.
- Status in our records
- Live
- First seen by us
- Oct 20, 202615 days ago
- Recorded sightings
- 20
- Last seen by us
- Nov 5, 2026
- Reposted
- 3 times since Sep 16, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Axle Energy is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
- 100% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Docker
- React
Where the posting names them
Tech stack 🐍 We build in Python + React for the frontend (less relevant for this role) 🐋 Everything we build lives in Docker, for minimal cross-platform faff and maximal reproducibility. 🤖 Unlimited Claude Code tokens - we are aggressive users and explorers of AI, and encourage everybody to reconsider their workflows regularly
🐍 We build in Python + React for the frontend (less relevant for this role) 🐋 Everything we build lives in Docker, for minimal cross-platform faff and maximal reproducibility. 🤖 Unlimited Claude Code tokens - we are aggressive users and explorers of AI, and encourage everybody to reconsider their workflows regularly ☁️ We deploy on GCP
Your next step
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Applying through Ashby
- No account needed. “Autofill from resume” at the top of the form fills the key fields from your file.
Already applied? Track this application
Has Axle Energy posted this job before?
Yes. We’ve followed 3 other Data Science jobs there since September 2026. 3 came down, usually after about 8 days.
Large employers often post one title for several teams, so these can be separate openings.
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
About Us
At Axle Energy, we’re building the infrastructure that will underpin the decarbonised energy system. Our software moves energy usage to times when electricity is cheap and green, by controlling vehicle charging, heating systems, and home batteries. We control hundreds of thousands of energy assets.
We’re building in a legacy industry and moving gigawatt-hours of electrons in the real world, but we operate at lightning speed, and we’re growing the team to meet customer demand.
We’re proud to be supported by world-leading investors, including Energize Capital and Accel.
Read more about what we’re building here.
About the role
We're hiring full stack data scientists who love to get into the nitty gritty of the domain, have an instinct for commercial value, and own the entire process from data exploration to production.
Building, optimising, and deploying models that operate reliably at scale
Developing a deep understanding of energy markets, grid dynamics, and trading strategies
Taking ownership of the full lifecycle of your work, from research and prototyping through to production
Writing clean, production-quality code and contributing to robust, scalable systems
Working beyond notebooks, turning ideas into real-world, productionised solutions
It’d be nice if you could bring:
Knowledge of the electricity system, specifically power trading
Comfort speaking to clients (we’re a small team and wear many hats)
Familiarity with time-series data
Tech stack
🐍 We build in Python + React for the frontend (less relevant for this role)
🐋 Everything we build lives in Docker, for minimal cross-platform faff and maximal reproducibility.
🤖 Unlimited Claude Code tokens - we are aggressive users and explorers of AI, and encourage everybody to reconsider their workflows regularly
☁️ We deploy on GCP
What's in it for you
A meaningful slice of equity in Axle, alongside a competitive salary, with total compensation ranging from £75k–£200k (base salary + equity).
We operate with a deliberately flat structure and aim to keep pay equitable across the company, with a 1:1 median ratio between founder and team compensation.
Enhanced parental leave to support you through life's meaningful moments.
Bi-annual retreats to strengthen team connection & shared purpose.
Hybrid working - We have a dog-friendly office around Farringdon. To maximize collaboration, we ask that you spend 2-3 days a week in the office.
The opportunity to directly shape the future of energy markets and accelerate the transition to a low-carbon world.
We are extremely keen to build a diverse company, and we’re particularly eager to hear from candidates who don't fit the traditional role stereotypes. If you’re motivated by our mission, please do reach out, even if you feel you might not ‘check all the boxes’.
Interview process
Initial interview
Take-home exercise
Final interview (in-person)
Offer, references, and welcome to the team!
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
What's in it for you A meaningful slice of equity in Axle, alongside a competitive salary, with total compensation ranging from £75k–£200k (base salary + equity). We operate with a deliberately flat structure and aim to keep pay equitable across the company, with a 1:1 median ratio between founder and team compensation.
- Location & working pattern
London, United Kingdom
Bi-annual retreats to strengthen team connection & shared purpose. Hybrid working - We have a dog-friendly office around Farringdon. To maximize collaboration, we ask that you spend 2-3 days a week in the office. The opportunity to directly shape the future of energy markets and accelerate the transition to a low-carbon world.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.